Keras based implementation of the CSRNET model
-
Updated
Mar 29, 2020 - Jupyter Notebook
Keras based implementation of the CSRNET model
Crowd Counting: A view around state-of-the-art
AI based application that counts the number of people in a crowd and also detects the total social distancing violations dynamically.
Crowd Counting Via Scale-adaptive Convolutional Neural Network
An intelligent system to disable gathering during pandemic
Securely and privately verifiable protests
This is the key code of the paper "CCST: Crowd Counting with Swin Transformer"
This repository contains the code for the Curriculum Learning (CL) based algorithm for crowd counting, as described in our paper "Optimizing Crowd Counting in Dense Environments through Curriculum Learning Training Strategy".
Data preprocessing & augmentation framework, designed for working with crowd counting datasets, ML/DL framework-independent. Supports multitude of simple as well as advanced transformations, outputs and loaders, all of them to be combined using pipelines.
An experiment in open-ended publishing
The code of paper: Hypergraph Association Weakly Supervised Crowd Counting
Project page for "OmniCount: Multi-label Object Counting with Semantic-Geometric Priors"
Developed Counting Convolutional Neural Network (CCNN) for Crowd Counting- Deep Neural Network Course Project
Welcome to the Crowd Counter program! This Python application utilizes the p2pnet model to calculate the number of people in a crowd based on an input image. The program marks each and every entity in the crowd with a point and provides the total count of individuals as the program output. 🙆♂️🙆♀️
Crowd Counting - From Real to Synthetic Datasets
Image Meta Data Annotation Tool for Crowd Counting
This repository contains the implementation of a wide variety of Deep Learning Projects in different applications of computer vision, NLP, federated, and distributed learning. These projects include university projects and projects implemented due to interest in Deep Learning.
Add a description, image, and links to the crowd-counting topic page so that developers can more easily learn about it.
To associate your repository with the crowd-counting topic, visit your repo's landing page and select "manage topics."